Updated docs regarding config files download

docs/user-guide/getting-started/how_to_use.md

@@ -34,7 +34,7 @@ The setup for an *eva* run is provided in a `.yaml` config file which is defined
 
 A config file specifies the setup for the *trainer* (including callback for the model backbone), the *model* (setup of the trainable decoder) and *data* module. 
 
-To get a better understanding, inspect some of the provided [config files](https://github.com/kaiko-ai/eva/tree/main/configs/vision) (which you will download if you run the tutorials).
+The config files for the datasets and models that **eva** supports out of the box, you can find on [GitHub](https://github.com/kaiko-ai/eva/tree/main/configs). We recommend that you inspect some of them to get a better understanding of their structure and content.
 
 
 ### Environment variables

docs/user-guide/getting-started/installation.md

@@ -11,15 +11,6 @@
 pip install "kaiko-eva[vision] @ git+https://github.com/kaiko-ai/eva.git"
 ```
 
-- To be able to use the existing configs, download them into directory where you installed *eva*. You can get them from our blob storage with:
-
-```
-azcopy copy https://kaiko.blob.core.windows.net/long-term-experimental/eva/configs . --recursive=true
-```
-
-(Alternatively you can also download them from the [*eva* GitHub repo](https://github.com/kaiko-ai/eva/tree/main))
-
-
 ## Run *eva*
 
 Now you are all setup and you can start running *eva* with:

docs/user-guide/tutorials/offline_vs_online.md

@@ -3,10 +3,11 @@
 In this tutorial we run *eva* with the three subcommands `predict`, `fit` and `predict_fit`, and take a look at the difference between *offline* and *online* workflows.
 
 ### Before you start
+If you haven't downloaded the config files yet, please download them from [GitHub](https://github.com/kaiko-ai/eva/tree/main/configs).
 
 For this tutorial we use the [BACH](../../datasets/bach.md) classification task which is available on [Zenodo](https://zenodo.org/records/3632035) and is distributed under [*Attribution-NonCommercial-ShareAlike 4.0 International*](https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode) license.
 
-If you have not yet downloaded the BACH data to your machine, open `configs/vision/dino_vit/offline/bach.yaml` and enable automatic download by setting: `download: true`.
+To let **eva** automatically handle the dataset download, you can open `configs/vision/dino_vit/offline/bach.yaml` and set `download: true`. Before doing so, please make sure that your use case is compliant with the dataset license.
 
 ## *Offline* evaluations